Applicants should be enrolled as PhD-students. Priority is given to doctoral students from the department of Technology Management and Economics who, preferably, already attended RTME course.
Purpose of the course
The purpose of this course is to provide participants with necessary knowledge and skills in order to get started in doing quantitative research, but it will not guide you all the way to the finish. The focus is not on the mathematical intricacies, but rather on the following:
- Ability to read quantitative research in a critical way, especially within your own subject area
- Basic ideas and underlying assumptions
- Use and misuse of quantitative research
- Use of computer software for data analyses
General organization of the course
The course is based on a flipped classroom approach with, typically, one session in class on campus each week, typically on Tuesday afternoons. Before each session, participants should read the assigned literature, view the corresponding videos, and prepare according to instructions. The session itself is used to delve into the topic, thereby creating a more fruitful setting for learning.
Because the examination (see below) as well as the course itself depend fundamentally on the participants continuous activities and involvement, attendance at the sessions is generally mandatory. Hence, if you know beforehand that you will be unable to attend to several sessions, or that you will be unable to work half-time with the course during the entire study period, you should not enroll.
The course will cover the following topics:
- Data collection
- Descriptive statistics and t-tests
- Analysis of variance (ANOVA)
- Regression analysis
- Frequency analysis
- Factor analysis
The examination will include
1. Active participation in the weekly seminars based on written hand-ins.
2. Approved software exercises, which have to be handed in before the end of the course.
3. Approved course paper (expected length: about 3,000 words excluding references) with opposition on two other participants papers. The course paper should include 1) a comprehensive review of how quantitative methods are applied in your own research area, and 2) a general or a specific discussion of how you could (or actually plan to) use quantitative methods in your own PhD research project.